דרושים Senior Software Engineer Atlas Dedicated ב-Mongodb ב-הולנד

• Proactively, identify, qualify and close a sales pipeline
• Strategically prospect into CTOs, Engineering/IT Leaders, & technical end users
• Build strong and effective relationships, resulting in growth opportunities
• Partner with our Solution Architects and work closely with the Professional Services team to achieve customer satisfaction
• Work closely with the enterprise ecosystem partner sales and channel partner to maximize deal sizes
• Participate in our sales enablement trainings, including our comprehensive Sales Bootcamp, sophisticated sales training, and leadership and development programs

• 3+ years field experience of quota-carrying experience in a fast-paced and competitive market with a focus on closing net new logos and expanding accounts Demonstrated ability to open new accounts and run a complex sales process
• A proven track record of overachievement and hitting sales targets
• Ability to articulate the business value of complex enterprise technology
• Skilled in building business champions
• Driven and competitive. Possess a strong desire to be successful
• Fluent in English
• Must live in territory

• Passionate about growing your career in the largest market in software (database)
• Previous Sales Methodology training (e.g. MEDDIC, SPIN, Challenger Sales)
• Familiarity with databases, develops and open source technology a plus

• MongoDB prides themselves in the development of each of our new hires & continuous career development
• Accelerators up to 30%
• Best in breed Sales trainings in MEDDIC and Command of the Message, including our comprehensive Sales Bootcamps and development programs
• New hire stock equity (RSUs) and employee stock purchase plan
• Generous and competitive benefits (parental leave, fertility & wellbeing support)
• Friendly and inclusive workplace culture -

You will be joining a globally distributed team with a significant presence in both Europe and North America. While this role is based in the EMEA region, you will regularly collaborate closely with colleagues across different time zones. We support both office-based work in our European hubs like Dublin and Barcelona, as well as remote work in several countries (including the Netherlands, Great Britain, Italy, Germany, Spain, and France).

This role will be based remotely in the Netherlands.

• 10+ years of experience in data management systems
• Experience with building production-level code with a large user base, robust design structure and rigorous code quality
• Degree in Computer Science or similar field, or equivalent practical experience, with strong competencies in data structures, algorithms, and software design/architecture
• Experience with large code bases written in C++ or another systems programming language. You'll need to trace down defects, estimate work complexity, and design evolution and integration strategies as we rewrite different components of the system
• Passion for the theory and practice of database query engines, as well as hands-on or academic experience in the database domain

• Play a key role in defining the 12-month roadmap for Query Execution by researching state-of-the-art systems and leveraging your deep knowledge of industry trends to provide technical vision and direction
• Take direct responsibility for delivering on long-term (6-18 month) goals to innovate in high-performance query execution and other areas of responsibility, co-ordinating initiative-level strategy and personally writing well-tested, production-ready C++ code
• Advise management on key decisions related to our architecture and processes, and collaborate with stakeholders across the company on large initiatives
• Influence and grow team members through active mentoring, coaching, and leading by example, helping to cultivate a strong talent bench through interviewing and knowledge sharing

• In three months you’ll have contributed to the development of a project slated for the next major version, as well as fixed a few bugs in a minor version of our latest stable release series; You'll have learned about MongoDB's project lifecycle, and our long-term goals for the system
• In six months, you’ll have taken on code review responsibilities and are playing an active role in drafting and reviewing the design for new features. You have expanded the team's horizons by presenting a favorite paper or system architecture related to query systems.
• In twelve months, on the basis of your extensive past experience in the query space, you have contributed to the long-term technical roadmap of the MongoDB Query team

This role will be based remotely in the Netherlands.

• Administer and enhance IAM platforms, including Okta, AWS, GCP, and Azure IAM, ensuring secure and least-privilege access
• Design and implement SSO (SAML, OIDC, OAuth2) and MFA policies to strengthen authentication security
• Develop role-based access control (RBAC) models and identity governance workflows to improve access management
• Automate identity lifecycle processes (provisioning, deprovisioning, JIT access) using Terraform/OpenTofu and Python
• Implement security controls for GitHub repository management, ensuring secure CI/CD pipeline access

• Secure cloud environments across AWS, GCP, and Azure, focusing on IAM policies, resource permissions, and access control
• Automate security configurations and policy enforcement using Terraform/OpenTofu, CloudFormation, and Python scripting
• Conduct security assessments on cloud services, identifying misconfigurations, excessive permissions, and potential risks
• Support network security solutions, including Cloudflare WARP, VDI access controls, and VPN alternatives

• Manage MDM platforms (JAMF, Workspace ONE, Kolide) and implement device trust policies for macOS, Windows, and Linux
• Automate compliance monitoring and enforce security baselines for corporate and BYOD devices
• Deploy and manage Zero Trust security frameworks, integrating device posture with IAM policies

• Develop security automation workflows using Tines, Python, or PowerShell to reduce manual tasks
• Support Splunk SIEM administration, assisting with log analysis, alert tuning, and incident response workflows
• Monitor and respond to IAM and cloud security incidents, conducting root cause analysis and implementing remediation plans

• 3+ years of hands-on experience in IAM, Cloud Security, or Security Engineering
• Deep expertise in IAM solutions such as Okta, AWS IAM, GCP IAM, Azure AD, and identity federation technologies
• Strong understanding of OAuth2, OIDC, SAML, and authentication best practices
• Experience with Infrastructure as Code (Terraform/OpenTofu, CloudFormation) and security automation
• Proficiency in Python, Bash, or PowerShell for scripting and automation
• Experience managing MDM solutions and implementing device security policies
• Familiarity with SIEM (Splunk), endpoint monitoring, and security alerting
• Bonus: Certifications like AWS Certified Security, Okta Certified Professional, or CISSP

Req ID - 1263066475

This role will be based remotely in Netherlands.

• Minimum 4 years of experience in QA automation or software development with a focus on test automation
• Proficiency in writing and maintaining test automation for large codebases
• Strong background in databases, data management systems, and understanding of database query engines; direct experience is highly valued
• Solid foundation in computer science, with knowledge of data structures, algorithms, and software design/architecture
• B.Sc. in Computer Science or related field, or equivalent practical experience. Advanced degrees of experience in database query engines is a plus
• Passion for quality and an understanding of the latest test automation technologies and frameworks

• Design, develop, and maintain automated tests and testing frameworks for the MongoDB query engine
• Collaborate closely with development teams to understand new features and functionalities, ensuring testability and automating tests to cover both happy-path and edge-case scenarios
• Identify, isolate, and document bugs and issues within the database query system. Work with developers to ensure issues are resolved
• Enhance and extend the automation framework to improve test coverage, execution time, and tooling for diagnostics and performance testing
• Review and approve testing plans drawn up in the design phase of Query team projects. At the end of the project, certify that it has met its commitments regarding test coverage
• Provide feedback in code reviews, focusing on the robustness and reliability of code changes from a testing perspective

• Within three months, you have gained an understanding of MongoDB's MQL syntax and its semantics, as well as the behavior of our unique query engine and its interaction with other server systems (storage/indexes, sharding, etc). You have begun identifying key areas for testing improvements
• By six months, you have established yourself as a key reviewer for automated tests, independently leading the testing efforts for complex functionalities, and demonstrating improvements in test efficiency and coverage. You have significantly contributed to increasing the automated test coverage for upcoming releases
• After twelve months, you are instrumental in shaping the testing strategy for major new features, mentoring new team members in best practices for test automation and quality assurance

This role can be based out of our Amsterdam office or remotely in the EMEA region.

• Build and design new features for MongoDB Atlas
• Become an expert in and improve our systems for automatically scaling and healing database clusters
• Investigate issues spanning from cloud provider integrations down to OS configuration
• Contribute to and lead complex technical projects
• Work closely with product and design teams, considering the user’s perspective while building technical solutions
• Work with customers and support engineers to fix issues
• Collaborate with team members to develop our codebase, best practices, and design principles
• Learn from and mentor other team members

• Has at least 5 years of professional software development experience
• Is skilled at writing large-scale, distributed backend systems in a compiled language (Java, C#, Go, etc.)
• Is comfortable working across the stack of a modern web application (e.g. React, TypeScript, Enzyme)
• Has experience with at least one major cloud provider technology (AWS, Azure, GCP)
• Has led the launch of a new module and maintained it in production
• Is eager to solve tough problems
• Has excellent communication skills
• Is curious, collaborative, and motivated

• In 3 months, you'll have shipped code into production and collaborated with the team to solve tough problems
• In 6 months, you'll have contributed to a large project
• In 12 months, you'll have designed new features, led development work, and become a go-to expert on parts of the system

• Pragmatic, detail-oriented, self-motivated, and understands the benefits of collaboration
• Takes a software-driven approach to solving problems and routinely uses git to track progress
• Familiar with software engineering principles, dependency injection, composition, and test driven development

• Experience designing/implementing medium/large scale software projects (preferably with Go)
• Familiar with standard authentication protocols (e.g OAuth)
• Familiar with the development of web services and/or Kubernetes controllers
• Experienced performing deep technical analysis and fixing applications, systems, and networks
• Experience working with Linux, command line, and TCP/IP networking skills
• Experience working with container runtime toolchains (containerd, docker, podman)
• Solid knowledge of cloud infrastructure (preferably AWS)
• Experience with configuration management tools and managing infrastructure through code
• Familiar with how to use CI/CD workflows and tooling to deploy production services
• Experience running containers in a production environment, preferably Kubernetes based
• Experience with observability concepts and tooling, metrics, logging, traces, Prometheus, Grafana, OpenTelemetry
• Has practical knowledge of delivering production level services with SLI/SLOs and understands how to measure, track and adjust them
• 2-5 years of experience working in a similar role

• Work with engineering teams across MongoDB to investigate gaps and limitations in existing development workflows and understand new infrastructure and platform requirements
• Design self-service platform services and developer tooling that focuses on reliability, usability, and provides the appropriate level of abstraction from cloud infrastructure
• Regularly write and review automation, configuration management, and application code
• Author and review functional specifications and scoping documents for large platform projects and services
• Own and operate much of the internal development platform that runs MongoDB
• Work on a distributed team that frequently interacts with remote engineers across multiple time zones (primarily PST/EST/GMT)

• In three months you’ll have familiarized yourself with much of our environment and will be able to whiteboard important pieces of our platform on the fly. You will also be making regular contributions to our tooling/services and jumping in to help resolve incidents and respond to user requests
• In six months you’ll have successfully investigated, scoped, executed, and documented a medium to large sized platform project
• In a year you’ll have used your deep knowledge of our software and infrastructure to help drive platform adoption across the company. You will also be a subject matter expert in at least one component of our platform, and will have made a number of sizable contributions to our code base that significantly improve the quality, reliability and maintainability of our systems

• Pragmatic, detail-oriented, self-motivated, and understands the benefits of collaboration

• Provides guidance and coaching to entry-mid level engineers

• Takes a software-driven approach to solving problems and routinely uses git to track progress
• Strong understanding of software engineering principles, dependency injection, composition, and test driven development

• Experience designing/implementing medium/large scale software projects (strong preference for Go)

• Familiar with standard authentication protocols (e.g OAuth)
• Familiar with the development of web services and/or Kubernetes controllers
• Experienced performing deep technical analysis and fixing applications, systems, and networks
• Strong Linux and TCP/IP networking skills
• Solid knowledge of cloud infrastructure (preferably AWS), including development integrating with provider APIs
• Experience with configuration management tools and managing infrastructure through code
• Experience setting up and maintaining CI/CD workflows and tooling to deploy production services
• Experience running containers in a production environment, preferably Kubernetes based
• Proven experience with observability concepts and tooling, metrics, logging, traces, Prometheus, Grafana, OpenTelemetry
• Has practical knowledge of delivering production level services with SLI/SLOs and understands how to measure, track and adjust them
• 5+ years of experience working in a similar role

• Work with engineering teams across MongoDB to investigate gaps and limitations in existing development workflows and understand new infrastructure and platform requirements
• Design self-service platform services and developer tooling that focuses on reliability, usability, and provides the appropriate level of abstraction from cloud infrastructure
• Regularly write and review automation, configuration management, and application code
• Author and review functional specifications and scoping documents for large platform projects and services
• Own and operate much of the internal development platform that runs MongoDB
• Work on a distributed team that frequently interacts with remote engineers across multiple time zones (primarily PST/EST/GMT)

• In three months you’ll have familiarized yourself with much of our environment and will be able to whiteboard important pieces of our platform on the fly. You will also be making regular contributions to our tooling/services and jumping in to help resolve incidents and respond to user requests
• In six months you’ll have successfully investigated, scoped, executed, and documented a medium to large sized platform project
• In a year you’ll have used your deep knowledge of our software and infrastructure to help drive platform adoption across the company. You will also be a subject matter expert in at least one component of our platform and will have made a number of sizable contributions to our code base that significantly improve the quality, reliability and maintainability of our systems